Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl
What this work does
Asynchronous expression populations combine mutation, crossover, age regularization, migration, simplification and continuous constant optimization under accuracy/complexity tradeoffs.
Connection to discovery
A strong non-LLM search baseline and a concrete example of how a representation grammar and an optimizer jointly determine what can be discovered.
Evidence
Inspected the inner/outer-loop pseudocode, adaptive complexity penalties and support for user-defined operators and losses.
Scope and limitations
Fits empirical relations within user-specified operators and constraints; successful fitting is not evidence of causal truth. Performance depends on search and computation budgets.
THE RESEARCH CONVERSATION
Discussion & reactions
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